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一种用于数字组织学和细胞学切片的基于像素的自动聚焦技术。

A pixel-based autofocusing technique for digital histologic and cytologic slides.

作者信息

Della Mea Vincenzo, Viel Federico, Beltrami Carlo A

机构信息

Department of Mathematics and Computer Science, University of Udine, v.delle Scienze 206, 33100 Udine, Italy.

出版信息

Comput Med Imaging Graph. 2005 Jul;29(5):333-41. doi: 10.1016/j.compmedimag.2005.02.004.

Abstract

The present paper describes a method for autofocusing specifically studied for the acquisition of digital slides, i.e. full histologic and cytologic slides, utilising low-cost equipment. At first, experimentations with some of the most used focus measures and algorithms have been made, in order to choose the most suitable for histologic and cytologic images. Then, a study of the specific features of digital slides has been preliminarily carried out in order to understand the constraints of the domain. These included the capability of autofocusing in an unattended way on thousands of microscope fields, while fast performance is not a strict requirement. Based on the findings, an algorithm based on a dynamic focus position space, with a variance-based focus measure has been adapted to the specific situation. A qualitative and quantitative evaluation of the proposed algorithm allowed us to show that the proposed algorithm is suitable for the acquisition of digital slides, and furthermore it can be implemented starting from a basic microscope with an inexpensive motorised stage. The algorithm is currently implemented into a complete digital slide acquisition system, which is in turn being used for a Quality Assurance Programme in cervicovaginal cytologic screening.

摘要

本文介绍了一种专门为获取数字切片(即完整的组织学和细胞学切片)而研究的自动聚焦方法,该方法使用低成本设备。首先,对一些最常用的聚焦度量和算法进行了实验,以便选择最适合组织学和细胞学图像的方法。然后,对数字切片的特定特征进行了初步研究,以了解该领域的限制。这些限制包括以无人值守的方式对数千个显微镜视野进行自动聚焦的能力,而快速性能并非严格要求。基于这些发现,一种基于动态聚焦位置空间、采用基于方差的聚焦度量的算法已被应用于特定情况。对所提出算法的定性和定量评估表明,该算法适用于数字切片的获取,此外,它可以从配备廉价电动载物台的基本显微镜开始实现。该算法目前已被集成到一个完整的数字切片采集系统中,该系统又被用于宫颈阴道细胞学筛查的质量保证计划。

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